Intuitively, review
summarization also expects to capture the voice of the majority of users
as one of its aims. For example, if a majority of users complain about the battery of an item, we
would expect a summary to mention that. Instructions to annotators in multiple
annotation efforts for opinion summarization explicitly ask annotators to
capture what is common and popular [1]}, [2]}. The idea of consensus
is also present in the objective of many recent models for opinion
summarization [3]}, [4]}, [2]}. In this work, our
self-training approach explicitly tries to capture statements which
are agreed upon by a majority of reviews.
